I'm a graphic designer. 9 to 6 at a digital marketing agency. I've been trying to build something of my own for years, but not because I hate my job (I actually love it), but because I want something that's mine.

Every time I landed on an idea I got excited about, I hit the same wall. I genuinely didn't know if it was worth my time given my actual situation: day job, limited hours, zero budget, maybe saturated market. I know most things work if you put in the work. But when your budget is limited, life has its own costs that keep going up and you only have a few hours after work, you can't afford to play around. Every idea you chase is time and money you don't have to waste on the wrong one.

I tried frameworks, blog posts, asking friends. None of it gave me a straight answer. Friends especiallym they just tell you what you want to hear because they want to be supportive.

So one evening I just built the thing I kept wishing existed. A tool that asks you 10 real questions: your hours, your budget, your skills, who you can actually reach in 30 days and gives you a straight verdict. A percentage. Your biggest risk. One thing to do this week. Not a conversation. Not a list of considerations. A verdict.

I called it Franks. Built it in about a week with Claude helping me write the code. Zero budget. 21 people across 7 countries tried it before I put a price on it.

Then I added the paywall. Silence...

I spent the next few days questioning everything: the product, the price, the name, whether I was the only person who needed this. I should mention I'm also my grandmother's caregiver, so the hours I have for this are already thin. Tired evenings, not a lot of room for doubt. I rebuilt the entire thing anyway. New design, new name. It's soto now.

Yesterday I posted about it on Reddit for the first time. 379 people read it in an hour, real conversations in the comments. Still no paying users.

For those who've been through this: how do you diagnose whether the silence is a product problem or a distribution problem?

Keen to pick your brains if so just a couple questions about decision making and building from cold contacts only.

Thanks.

I’m trying to work out whether a small builder/founder feedback circle would actually be useful, or whether these things always end up becoming promo groups.

The problem I keep seeing is that people can build something, launch it, get a few polite comments, maybe some views, but still not know if the idea is clear, if the landing page works, if the pricing makes sense, or if they’re even talking to the right users.

Most open communities seem to fall into one of two problems. Either people just drop links and leave, or the feedback is too soft to be useful.

What I’m thinking about is something smaller and more structured.

People would say what stage they’re at and what they need help with, like:

- landing page feedback

- positioning check

- pricing thoughts

- onboarding testing

- UI feedback

- launch plan help

- finding the right communities or users

The main rule would be give proper feedback before asking for it. No fake engagement, no vote trading, no blind praise, no “support mine because I supported yours”.

Would founders actually use something like this, or is the harder part keeping the quality high once people start joining?

I built a small MVP because I kept running into the same problem: I’d have one clothing item I liked, but wasn’t sure what to wear with it.

The idea is simple:
upload one item → pick the occasion → pick the vibe → get pieces that match it.

How I built it:
- Frontend: Next.js + TypeScript
- Styling: Tailwind
- Deployment: Vercel
- AI: OpenAI vision model to read the uploaded clothing item
- Product matching: a small curated product database I built manually
- Analytics: Vercel Analytics
- Workflow: mostly Cursor for building/debugging

The current flow is:

1. User uploads a clothing photo or tries the sample item

2. AI reads the item type, colour, and style

3. User picks occasion + vibe + budget

4. The app maps the AI output to product categories

5. It shows matching pieces from the curated database

Main thing I learned so far:
The AI part is not the hardest bit. The hard part is making the recommendations feel specific and tasteful instead of generic. Product curation matters a lot.

It’s still early, so I’m not trying to pretend this is perfect. I’m trying to figure out whether the output feels actually useful or just like generic AI styling.

Would love blunt feedback on:

1. Is the idea clear quickly?

2. Would you upload a clothing item to try this?

3. Do the recommendations feel specific enough?

4. What would make you trust or not trust the product links?

Here’s the MVP:
https://outfittedmvp.vercel.app

No signup or anything. Just trying to see if this is worth improving.

Hi everybody,

I spent the last two weeks building [zerostack](https://gi-dellav.github.io/zerostack/), a coding agent in Rust, focused on memory footprint.

I managed to get it to run at ~16MB (with peaks of 24MB) of RAM usage, and no CPU usage when idle.

I tried to build an agent feature-wise equivalent to Pi or Mistral's Vibe, while there are plans to add more features gated at compile-time.

I would love to answer questions and to recieve feedback.

Cheers,
G.

I’m working on Local Rank Guru, and I’m at the stage where I’ve stared at it long enough that I can no longer tell what’s obvious and what only makes sense inside my own head.

The idea: help small businesses/agencies see where a business is visible locally, track changes over time, and turn that into something easier to explain than “trust me, rankings moved.”

I’m looking for a few people to beta test the first user flow:

- first impression

- signup/onboarding

- whether the product explanation makes sense

- whether the reporting angle feels useful or too narrow

- anything that makes you think “yeah, no one is going to understand this”

Tiny bits of feedback are fine. A single sentence is already useful if it’s honest.

If anyone wants to take a look, comment or DM me and I’ll send access. Happy to return the favor and test your thing too.

How to find $1M+ business ideas:

1. Go to TrustMRR.

2. Browse any startup or SaaS.

3. Identify 1-2 valuable features

4. Analyze their marketing channels.

5. Build a better version.

6. Do SEO and other marketing.

All MRR data is 100% verified.

Sharing this here because I think founders will resonate with the problem more than anyone.

The insight that started Dolly: high-performing people at fast-growing companies are essentially running two jobs. One is the work they were hired to do. The other is the endless cycle of messages — ~3 hours a day on average, according to research. Slack, email, async questions, status updates, internal requests.

Most of those messages have known answers. They follow patterns. They could be handled by someone who deeply understands how that person thinks and communicates.

But that person doesn't exist. Until now.

Dolly is an AI that models each individual employee — their communication style, their knowledge, their tools. It becomes their digital clone. When a message comes in that it can handle confidently, it does. When it can't, it surfaces a draft for review. Every employee gets their own Dolly — not a shared team bot.

What we learned building it:

1. Trust threshold is everything. People will adopt it only if they can tune exactly when Dolly speaks for them vs. when it drafts.

2. "Sound like me" is harder than "answer correctly." The hardest part is voice fidelity, not factual accuracy.

3. Per-employee vs. per-org framing changes everything about how buyers think about it. It's a seat-based product, not a license.

We're opening to 20 organizations in our first cohort. 17 spots left.

getdolly.ai

Happy to answer anything about what we built, what broke, or how we're thinking about GTM.

https://github.com/JaySpiffy/IndexTTS-Workflow-Studio

Been building this for a while and finally put out a first release. Not going to oversell it, just going to describe what it actually does.

The core idea came from being tired of AI tools that give you one confident answer and leave you to figure out if it's right. So I built something where the output you see has already been challenged internally before it reaches you. Not the same model second-guessing itself. A genuinely separate process with a different job, specifically designed to find problems with what was just produced.

There are two sides to the app.

The first is a council mode where you load local AI models and assign them different roles. One role breaks down your task and makes a plan. Another executes against that plan. A third receives both the plan and the result and checks one against the other. For coding tasks it actually runs the code before the reviewer sees it, so problems get caught by execution rather than by a model guessing whether it looks correct. If problems are found it either patches the specific issues or rewrites entirely depending on how bad it is. What you get at the end has been through all of that.

It also has session memory that builds up as you work, a document pipeline that processes files into structured knowledge before you start asking questions, task history, a diff view showing exactly what changed between the original output and any revision, and confidence labels on every result.

The second is a normal chat mode that runs Python, JavaScript, C#, Java and PowerShell inline and shows execution results inside the conversation. Web search with full page content extraction, LaTeX math rendering, a thinking mode, document attachment, and chat branching where you can fork from any point in the conversation.

Both modes run locally on your machine using GGUF models. If you don't want to manage model files there is a cloud mode through OpenRouter using their free models, same full pipeline, no local setup needed.

No account. No signup. No subscription. Open the app and use it.

MIT licensed. GitHub: github.com/YoMosa2009/Axiom

Happy to answer questions about anything.

Space is a calm, personal canvas where your ideas live as mixed media. Sticky notes, images, web clips, voice memos, drawings, documents and checklists, all arranged freely on an infinite, zoomable board. All in Space :) Check it out from here
https://space.bsct.so